36 AI MAGAZINECalifornia Institute of Technology, and were spon-sored by the Defense Advanced Research ProjectsAgency. Reference herein to any specific commercialproduct, process, or service by trade name, trade-mark, manufacturer, or otherwise does not constituteor imply its endorsement by the United States gov-ernment, or the Defense Advanced Research ProjectsAgency, or the Jet Propulsion Laboratory, CaliforniaInstitute of Technology.

Chien, S.; and Mjolsness, E. 1999. An Integrated System for
Multi-Rover Scientific Exploration. In Proceedings of the Sixteenth National Conference on Artificial Intelligence. Menlo
Park, CA: AAAI Press.

Russell Knight is a member of the technical staff, Artificial
Intelligence Group, Jet Propulsion Laboratory, California
Institute of Technology. He is currently working on the
automated scheduing and planning environment (ASPEN)
planning system for mission operations, the Continuous
Activity Scheduling, Planning, Execution, and Replanning
(CASPER) real-time planning system, and the Mission Data
System (MDS) (specifically the scheduler). Additionally, he
supports research efforts in Antarctica. His research interests are in planning and scheduling, heuristic search, operations research, and space exploration automation.

Caroline Chouinard joined Red Canyon Software in 2011
during the prelaunch software verification stage of the Juno
mission. She is currently working on the next-generation
astronaut transport capsule known as MPCV (multipurpose
crew vehicle). Chouinard came to Red Canyon Software
from the Jet Propulsion Laboratory where she was most
recently leading the Sequence Virtual Team for Cassini. She
also held multiple roles on the Mars Exploration Rovers
mission in software development and both strategic and
tactical mission operations and was awarded for her work
on the DARPA-funded technology demonstration Orbital
Express.

Grailing Jones, Jr., is a senior technical staff member in the
Planning and Execution Systems Group at the Jet Propulsion Laboratory. He has developed and operated mission
planning and execution systems for a variety of NASA and
DOD projects. He earned his B.S. in astronautics from the
United States Air Force Academy, master’s in aerospace
engineering from the University of Colorado at Boulder,
and master’s in systems architecture and engineering from
the University of Southern California.

Daniel Tran is a member of the technical staff in the Artificial Intelligence Group at the Jet Propulsion Laboratory,
California Institute of Technology, where he is working on
developing automated planning and scheduling systems
for on-board spacecraft commanding. Tran attended the
University of Washington and received a B.S. in computer
engineering. He is currently the software lead for the
Autonomous Sciencecraft Experiment, and he is cowinner
of the 2005 NASA Software of the Year award.